Modelence's answer

Modelence builds real, production-ready apps from prompts - not just prototypes. Unlike other AI app builders, it's powered by an open-source TypeScript/MongoDB framework, so you get full code ownership and no vendor lock-in.

JIterator's answer:

Traffic as test cases, supporting automatic diff and automatic assert, eliminating the cost of data preparation and assert writing, achieving lower-cost automated testing.

Modelence's answer

Compared to Lovable, Replit, or Base44, Modelence gives you production-grade apps (not throwaway prototypes), a fully open-source codebase you can eject and self-host anytime, and a streamlined no-code experience backed by a robust full-stack framework.

JIterator's answer:

Automated traffic recording and replay technology revolutionizes testing efficiency and accuracy. Streamline your testing processes, shorten iteration cycles, and ensure continuous software quality improvement.

Modelence's answer

Non-technical founders, solo entrepreneurs, and small teams who need to ship real software products quickly - without hiring a dev team or learning to code. Also appeals to technical users who want to accelerate app development with AI while retaining full code access.

JIterator's answer:

Medium to large enterprises with the Java technology stack or small enterprises with special requirements for stability

JIterator's answer:

In 2015, to address the increasingly severe challenges of automated testing for Taobao's price calculation system, we developed a traffic testing tool suitable for Taobao's backend systems, inspired by Tcpcopy. With its help, the price calculation system has never had a failure since.

In 2016, we were tasked to support the largest reconstruction project in the history of Alibaba's transaction system: the middleware transformation project. To support core transactions, we improved the product and achieved fully automated Mock capabilities for downstream systems, ensuring the smooth implementation of the project. Later, recording and replay became the core safeguard for the transaction system.

As our reputation spread within the group, our product was adopted and used by more teams. By 2023, more than 7,000 systems had adopted the system for support and it had also supported hundreds of system reconstruction projects, including Ping An Bank externally.

Due to organizational strategy adjustments, the traffic testing tool no longer provides external services. We created JIterator to provide services to the public. It has also surpassed the original traffic testing tool in many aspects, surpassing its predecessor.

Modelence's answer

TypeScript and MongoDB as the core stack, built on Modelence's own open-source full-stack framework. The AI App Builder layer handles prompt-to-app generation on top of this foundation.

JIterator's answer:

Traffic recording and playback technology based on JVM-TI

JIterator's answer:

Alibaba Pingan bank